Moving massive workloads to the cloud, integrating multiple clouds, making cloud resources fully scalable and controlable, reducing cost and increasing ROI- All of these and more AIM-E can do for your company!
Data lakes are basically big data stores (like a database) that can take almost any kind of data in any format and put it all in a big “pool” that can then be queried like a normal database
Document Engine is created when an AI is “trained” to understand a “type” of a document. Once the system understands what’s in a type of document, we can feed it as many of those kinds of documents as we need and get all the information out of them with simple searches!
AIM-E creates predictive analytics Artificial Intelligence systems in order to ask “what if” questions like – if I change this product, how does that affect sales forecast? or if I change this resource, how does that affect staffing?
AIM-E can create different types of interfaces for the AI systems we help create. We can provide a chatbot, smart speaker (Alexa, google home), applications or other kinds of interfaces to make it EASY to get the information your AI projects create and share them across the organization
AIM-E can get your organization, business units and teams up to speed on Artificial intelligence projects. We can assist in providing change management for your AI projects
AIM-E can help your organization manage AI projects to make sure they are successful
AIM-E can mentor and teach your organization’s management, development, operations, and auditing staff. AIM- E can teach an organization how to prepare, create, manage, develop, test, provide proof of trust and ethical behavior and monitor and evaluate the organization’s Artificial Intelligence CMMI level
At AIM-E we believe that systems should be easy to understand and use. We believe systems and machines should provide intuitive, transparent interfaces so people can use them easily.
By determining the terms the Business uses already, and mapping the data to those terms, the Business can get the insights they need without technological knowledge
Machines should serve the needs of people, not the other way around.
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